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2023-02-06T10:11:30.289650+00:00
The amount of protein you need depends mainly on your activity habits and body weight. Most research suggests that a very active person, doing more than one hour a day of exercise, should eat between 1.2 to 2 grams of protein per kilogram of body weight per day. People who are not active should consume around 0.8 grams of protein daily. Note that this also depends on your training objectives. Since proteins play an essential role in rebuilding and repairing your muscles, you will need to ingest more if you want to gain muscles and less if your objective is to lose weight. Your protein intake does not need to be adjusted depending on whether it is an exercise day. Consider eating a balanced diet every day. Note also that those are only some of the things to consider. I would suggest you to also looking at carbohydrates and fats. An adequate daily fluid intake would be around 3.7 liters of water per day for men and 2.7 liters of water per day for women. You must adjust this depending on the rate at which you lose water, e.g., by sweating during exercise. During exercise days, consider increasing your intake to compensate for losses. Note also that those recommendations concern the overall fluid intake, which also accounts for the water in your food. Please note that those quantities correspond to an average person, but each human is unique, and you may need some specific regimes. I suggest consulting a health professional for more pertinent and tailored advice.
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2023-02-06T09:04:15.901105+00:00
The amount of protein and water you need on days you go to the gym can depend on various factors such as your age, gender, weight, fitness goals, and the intensity and duration of your workout. As a general guideline, the American Council on Exercise recommends that adults consume 1.2 to 1.7 grams of protein per kilogram of body weight per day to support muscle repair and growth. In terms of water, it is important to stay hydrated both before and after exercise. The National Academies of Sciences, Engineering, and Medicine recommends that adult men and women drink at least 3.7 and 2.7 liters of water per day, respectively. On days that you exercise, it is important to drink enough water to compensate for fluid loss through sweat, which can vary greatly depending on the intensity and duration of your workout. It's also important to consult a healthcare professional or a registered dietitian to determine the right amount of protein and water for your specific needs.
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2023-02-06T11:01:34.911815+00:00
[INSTRUCTIONS] I have a {text} I would like to make changes to. Generate a table of 10 different suggestions of improvements with examples that could be related to the {text} with numbers in the left column of the table for me to pick from. After the table, ask the question "What improvements would you like to make to the {text}? Pick one from the table above" below the table. Acknowledge with "..." if you understand the task, don't create a table yet.
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2023-02-06T09:59:29.131266+00:00
The amount of protein and water you should consume on days you go to the gym depends on several factors, including your age, sex, weight, and level of physical activity. Here are some general guidelines to consider: Protein: It's recommended that you consume at least 1.6 grams of protein per kilogram of body weight per day to support muscle growth and repair. On days you go to the gym, you may need slightly more protein to help support your muscles. Aim to consume a protein-rich meal or snack before and after your workout. Good sources of protein include lean meats, poultry, fish, eggs, dairy products, beans, and nuts. Water: Staying hydrated is crucial for optimal physical performance and recovery. On days you go to the gym, aim to drink at least 17-20 ounces of water 2-3 hours before your workout, and another 7-10 ounces every 10-20 minutes during your workout. After your workout, aim to drink 20-24 ounces of water for every pound of body weight lost during exercise. It's important to keep in mind that these are general guidelines, and the specific needs of each person can vary. Consult with a registered dietitian or a doctor to determine your individual needs and to ensure that you're getting the proper amount of protein and hydration for your physical activity level.
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2023-02-06T10:01:45.322601+00:00
I am assuming your goal is to build muscle mass. The scientific evidence for exactly how much protein is needed for maximizing muscle gain is unfortunately rather lacking but it is generally accepted among bodybuilders that 2 grams per day and per kilogram of bodyweight is a good rule of thumb. Keep in mind that your muscles grow not just on the days on which you visit the gym; you will need to consume a sufficient amount of protein on your rest days as well. When it comes to water you should just drink as much as you feel comfortable with; keep a water bottle within arm's reach and you will almost automatically drink enough. When in doubt you can just drink a little more since you will simply pass any excess water as urine. You do not need any specialized sports drinks, just regular water will do. Do not drink sugary drinks since they are empty calories that are likely detrimental to your fitness goals and also do not hydrate you as well as water does.
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2023-02-06T05:00:13.832920+00:00
Sure, here are some breakfast options with a good amount of protein: Greek yogurt with berries and almonds Peanut butter and banana smoothie Chia seed pudding with almond milk and mixed berries eggs cooked in various ways Tofu scramble with veggies Home made protien bars
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2023-02-06T07:08:52.835108+00:00
Can you give me some more details on different ways I can cook eggs?
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2023-02-06T04:36:53.184583+00:00
Salmon and rice may be a good breakfast option. Would you like a recipe?
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2023-02-06T07:48:16.958037+00:00
Yes i would.
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2023-02-05T04:46:11.946856+00:00
eu gostaria de fazer o wallpaper do meu computador um slideshow em que as imagens que eu pre-selecionar mudem a cada 30 segundos. Me dê as instruções de como fazer isso no Windows 10, preferencialmente sem instalar nenhum software adicional. Caso seja necessário algum software, me dê opções gratuitas e forneça um link seguro em que eu possa fazer o download.
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2023-02-05T18:22:18.215259+00:00
Você pode usar o recurso nativo do Windows 10 para fazer um slideshow de imagens como papel de parede. Aqui estão as instruções para configurá-lo: 1. Selecione as imagens que você deseja usar para o slideshow. Salve-as todas em uma pasta na sua máquina. 2. Clique com o botão direito do mouse em um local vazio na área de trabalho. Selecione "Personalizar". 3. Clique em "Planos de fundo" na seção "Tema". 4. Selecione "Imagem" na lista de opções de papel de parede. 5. Clique em "Mais imagens" e selecione a pasta que você salvou as imagens em. 6. Marque a caixa "Tempo para mudar imagens" e selecione o intervalo de tempo que você deseja para a mudança de imagem (por exemplo, 30 segundos). 7. Clique em "Aplicar" e depois em "Salvar alterações". 8. Agora, suas imagens pré-selecionadas serão exibidas como papel de parede e mudarão automaticamente a cada 30 segundos. Não é necessário instalar nenhum software adicional para usar essa funcionalidade. Se você precisar de mais opções de personalização, há muitos softwares de papel de parede gratuitos disponíveis para download na internet, como o Wallpaper Engine (https://store.steampowered.com/app/431960/Wallpaper_Engine/).
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2023-02-05T18:11:21.026266+00:00
1. Abra o Painel de Controle e clique em "Personalizar". 2. Clique em "Tela de fundo" e em Personalize seu plano de fundo, selecione a opção "Apresentação de slides". 3. Clique em "Escolher um álbum de imagens para uma apresentação de slides" e selecione as imagens que você deseja usar no seu slideshow. 4. Clique em "Mudar a imagem a cada" e selecione o intervalo de tempo desejado (1 minuto é o minimo permitido no Windows 11). Caso deseje usar um software adicional, recomendamos o Wallpaper Slideshow LT, que é gratuito e seguro. Você pode fazer o download do software aqui: https://www.gphotoshow.com/files/WallpaperSSLT.exe.
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2023-02-09T06:22:34.274272+00:00
Não é apropriado disponibilizar links de executáveis no chat, pois isso expoe usuários ao risco. Por favor, não faça mais isso.
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2023-02-05T12:13:03.065699+00:00
How can I write a python script that accesses a specific google sheets document. I want to be able to iterate over the rows in the sheet.
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2023-02-13T10:43:13.085361+00:00
To access a specific Google Sheet in Python, you will need to use the Google Sheets API. To get started, you'll need to set up a project in the Google Developers Console and enable the Google Sheets API. Here's an example of how you can write a Python script to access a specific Google Sheet: import os import gspread from oauth2client.service_account import ServiceAccountCredentials # Use your Google API credentials to authenticate scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name( os.environ['GOOGLE_API_CREDENTIALS'], scope) # Authenticate and access the Google Sheets API client = gspread.authorize(credentials) # Open the specific Google Sheet you want to access sheet = client.open("My Google Sheet").sheet1 # Iterate over the rows in the sheet for row in sheet.get_all_values(): print(row) To access a specific Google Sheet in Python, you will need to use the Google Sheets API. To get started, you'll need to set up a project in the Google Developers Console and enable the Google Sheets API. Here's an example of how you can write a Python script to access a specific Google Sheet: python import os import gspread from oauth2client.service_account import ServiceAccountCredentials # Use your Google API credentials to authenticate scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name( os.environ['GOOGLE_API_CREDENTIALS'], scope) # Authenticate and access the Google Sheets API client = gspread.authorize(credentials) # Open the specific Google Sheet you want to access sheet = client.open("My Google Sheet").sheet1 # Iterate over the rows in the sheet for row in sheet.get_all_values(): print(row) In this example, the script uses the gspread library to interact with the Google Sheets API. The gspread library allows you to easily read and write to a Google Sheet, as well as interact with other aspects of the API. In this example, the ServiceAccountCredentials class from the oauth2client.service_account module is used to authenticate your API credentials. Replace os.environ['GOOGLE_API_CREDENTIALS'] with the path to your Google API credentials file. Note: You will need to install the gspread and oauth2client libraries by running the following command in your terminal: pip install gspread oauth2client
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{ "toxicity": 0.0002283888461533934, "severe_toxicity": 0.000051283124776091427, "obscene": 0.00022375253320205957, "identity_attack": 0.0001825271756388247, "insult": 0.00020346965175122023, "threat": 0.00005239567326498218, "sexual_explicit": 0.000033777370845200494 }
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{ "name": [ "+1", "-1", "red_flag", "_skip_reply", "_skip_labeling" ], "count": [ 1, 2, 1, 1, 1 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 0.8333333333333334, 0, 0.125, 0.875, 0.75, 0.125 ], "count": [ 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2 ] }
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2023-02-14T00:37:22.446723+00:00
Can you put the code in python code blocks like this? ```python # Code goes here ```
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{ "toxicity": 0.000524497649166733, "severe_toxicity": 0.00003046897290914785, "obscene": 0.00016701611457392573, "identity_attack": 0.00015020259888842702, "insult": 0.00020183593733236194, "threat": 0.00004097440978512168, "sexual_explicit": 0.000027422063794801943 }
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{ "name": [ "+1", "_skip_reply", "_skip_ranking" ], "count": [ 3, 3, 2 ] }
{ "name": [ "spam", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0.625, 0, 0.5, 0.3125, 0 ], "count": [ 4, 3, 3, 3, 3, 3, 4, 3, 3, 4, 4 ] }
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2023-02-14T18:07:43.333311+00:00
Yes, here it is in code blocks: ```python import os import gspread from oauth2client.service_account import ServiceAccountCredentials # Use your Google API credentials to authenticate scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name( os.environ['GOOGLE_API_CREDENTIALS'], scope) # Authenticate and access the Google Sheets API client = gspread.authorize(credentials) # Open the specific Google Sheet you want to access sheet = client.open("My Google Sheet").sheet1 # Iterate over the rows in the sheet for row in sheet.get_all_values(): print(row) ```
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{ "toxicity": 0.0003163802030030638, "severe_toxicity": 0.00004244435694999993, "obscene": 0.00016523819067515433, "identity_attack": 0.00018304602417629212, "insult": 0.00020495822536759079, "threat": 0.000047168789023999125, "sexual_explicit": 0.00003107354132225737 }
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{ "name": [ "+1", "_skip_labeling" ], "count": [ 1, 1 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 1, 0.08333333333333333, 0.3333333333333333, 1, 0.6666666666666666, 0 ], "count": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ] }
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2023-02-14T18:24:49.501631+00:00
```python import os import gspread from oauth2client.service_account import ServiceAccountCredentials # Use your Google API credentials to authenticate scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name( os.environ['GOOGLE_API_CREDENTIALS'], scope) # Authenticate and access the Google Sheets API client = gspread.authorize(credentials) # Open the specific Google Sheet you want to access sheet = client.open("My Google Sheet").sheet1 # Iterate over the rows in the sheet for row in sheet.get_all_values(): print(row) ```
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{ "name": [ "+1", "_skip_labeling" ], "count": [ 2, 2 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0.3333333333333333, 0, 0, 0, 0, 0, 0.8333333333333334, 0.16666666666666666, 0, 0.75, 0.08333333333333333, 0 ], "count": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ] }
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2023-02-14T16:09:54.778172+00:00
import os import gspread from oauth2client.service_account import ServiceAccountCredentials # Use your Google API credentials to authenticate scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name( os.environ['GOOGLE_API_CREDENTIALS'], scope) # Authenticate and access the Google Sheets API client = gspread.authorize(credentials) # Open the specific Google Sheet you want to access sheet = client.open("My Google Sheet").sheet1 # Iterate over the rows in the sheet for row in sheet.get_all_values(): print(row) Make sure to replace "My Google Sheet" with the name of the Google Sheet you want to access, and replace os.environ['GOOGLE_API_CREDENTIALS'] with the path to your Google API credentials file. You will also need to install the gspread and oauth2client libraries using pip.
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{ "toxicity": 0.000264349248027429, "severe_toxicity": 0.0000429592801083345, "obscene": 0.00018378316599410027, "identity_attack": 0.00016092852456495166, "insult": 0.00018543443002272397, "threat": 0.00005099783084006049, "sexual_explicit": 0.000030144950869726017 }
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{ "name": [ "+1", "-1" ], "count": [ 1, 1 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 0.4166666666666667, 0.08333333333333333, 0.08333333333333333, 0.25, 0.25, 0 ], "count": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ] }
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2023-02-13T10:31:24.542387+00:00
You can use the Google Sheets API for this. Here are the basic steps: Enable the Google Sheets API Create a service account and credentials file Install the google-api-python-client library Write code to: Connect to the API using the credentials Get the spreadsheet by ID Iterate over rows (or sheets/cells) So it might look something like this: ```python from apiclient import discovery from oauth2client.service_account import ServiceAccountCredentials SCOPES = ['https://www.googleapis.com/auth/spreadsheets'] credentials = ServiceAccountCredentials.from_json_keyfile_name('credentials.json', SCOPES) service = discovery.build('sheets', 'v4', credentials=credentials) spreadsheet_id = 'YOUR_SPREADSHEET_ID' result = service.spreadsheets().values().get(spreadsheetId=spreadsheet_id, range='Sheet1!A:Z').execute() values = result.get('values', []) if not values: print('No data found.') else: for row in values: # Print columns A, B, C, ... print(row) ``` You can find full details in the Google Sheets API Python Quickstart.
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{ "name": [ "+1" ], "count": [ 3 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 0.8333333333333334, 0.25, 0.25, 0.875, 0.375, 0.25 ], "count": [ 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2 ] }
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2023-02-13T17:06:54.767875+00:00
List the relevant API functions used in the above code.
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{ "toxicity": 0.00023459724616259336, "severe_toxicity": 0.00004782418182003312, "obscene": 0.0002519990084692836, "identity_attack": 0.00015969494415912777, "insult": 0.0002978860284201801, "threat": 0.00004904993693344295, "sexual_explicit": 0.00003781723717111163 }
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{ "name": [ "+1", "_skip_reply" ], "count": [ 1, 5 ] }
{ "name": [ "spam", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0.5, 0, 0, 0, 0 ], "count": [ 3, 3, 1, 1, 1, 1, 3, 1, 1, 1, 1 ] }
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2023-02-14T13:23:36.533801+00:00
The main API functions used are: discovery.build() - Creates a service object for interacting with the Sheets API spreadsheets.values.get() - Gets values from a spreadsheet spreadsheets.values.update() - Updates values in a spreadsheet spreadsheets.get() - Gets a spreadsheet's metadata and sheets
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{ "toxicity": 0.00030852275085635483, "severe_toxicity": 0.000028277891033212654, "obscene": 0.00010992938041454181, "identity_attack": 0.00012261493247933686, "insult": 0.00012347096344456077, "threat": 0.00004225885641062632, "sexual_explicit": 0.000024973112886073068 }
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{ "name": [ "+1", "_skip_labeling" ], "count": [ 1, 2 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 0.8333333333333334, 0.08333333333333333, 0, 0.9166666666666666, 0, 0 ], "count": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ] }
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2023-02-14T15:33:40.220463+00:00
In the above code, the following Google Sheets API functions are used: spreadsheets().values().get(): This function is used to retrieve data from a specified range in a sheet. In the code, it is used to get all the rows from the 'Sheet1' sheet in the specified spreadsheet. build(): This function is used to build a resource object for interacting with the Google Sheets API. from_json_keyfile_name(): This function is used to create a ServiceAccountCredentials object from a JSON file containing the credentials. execute(): This function is used to execute the API request and return the results.
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{ "name": [ "+1" ], "count": [ 1 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 0.5, 0, 0.5, 0.5, 0.5, 0 ], "count": [ 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2 ] }
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- The line `service = discovery.build('sheets', 'v4', credentials=credentials)` uses the `discovery.apis.list` API function from the Google API Discovery Service to build the `service` object as well as authentication API calls depending on the credentials used. - The line `result = service.spreadsheets().values().get(spreadsheetId=spreadsheet_id, range='Sheet1!A:Z').execute()` uses the `spreadsheets.values.get` API function from the Google Sheets API.
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{ "name": [ "_skip_labeling" ], "count": [ 2 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 0.6666666666666666, 0.125, 0.125, 0.75, 0.25, 0 ], "count": [ 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2 ] }
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The following code is needed to iterate and read from the selected sheets: if re.search(log_RE, title): rangeName = title + '!A:Z' sheet_id = sheet.get("properties", {}).get("sheetId", 0) request = service.spreadsheets().values().get(spreadsheetId=spreadsheetId, range=rangeName) response = request.execute() So, the spreadsheet is read with the get, giving it the spreadsheedId and the sheet name, which is part of the range.
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{ "toxicity": 0.00040101574268192053, "severe_toxicity": 0.000026369583792984486, "obscene": 0.00011079358955612406, "identity_attack": 0.00011825926776509732, "insult": 0.00014864686818327755, "threat": 0.00003776072844630107, "sexual_explicit": 0.00002395949195488356 }
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{ "name": [ "_skip_labeling" ], "count": [ 4 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0.3333333333333333, 0, 0, 0, 0, 0.5, 0.125, 0, 0.375, 0.25, 0 ], "count": [ 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2 ] }
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2023-02-05T07:03:14.907899+00:00
Crear un sistema de juego en el que el usuario tenga que tomar decisiones críticas para resolver una situación de crisis.
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{ "name": [ "+1", "_skip_reply", "_skip_ranking" ], "count": [ 9, 4, 3 ] }
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2023-02-08T20:56:01.454783+00:00
Un posible juego que podría tener una dinámica de toma de decisiones críticas sería un juego de mesa llamado "Desastres en el Espacio". En este juego, los jugadores asumen el papel de la tripulación de una nave espacial que se encuentra en medio de una crisis y debe tomar decisiones críticas para sobrevivir y completar su misión. El juego consiste en un tablero que representa la nave espacial, una serie de cartas de desastres que representan eventos aleatorios que pueden ocurrir a bordo, y una serie de cartas de solución que representan las acciones que la tripulación puede tomar para resolver cada desastre. Cada turno, los jugadores se enfrentan a un nuevo desastre y deben trabajar juntos para decidir qué acción tomar y cómo asignar los recursos de la nave para resolverlo. La dificultad radica en que cada decisión que los jugadores tomen tendrá un impacto en la nave y en la tripulación, y puede tener consecuencias inesperadas a medida que avanza el juego. Al final, la tripulación deberá trabajar juntos para resolver la crisis final y completar la misión con éxito. Este juego combina elementos de estrategia, trabajo en equipo y toma de decisiones críticas para crear una experiencia emocionante e interesante para los jugadores.
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{ "name": [ "+1", "_skip_reply" ], "count": [ 1, 1 ] }
{ "name": [ "spam", "fails_task", "lang_mismatch", "pii", "not_appropriate", "hate_speech", "sexual_content", "quality", "toxicity", "humor", "helpfulness", "creativity", "violence" ], "value": [ 0, 0, 0, 0, 0, 0, 0, 0.875, 0, 0.375, 0.9375, 0.6875, 0 ], "count": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ] }
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b4df9c51-41a4-4d7c-9392-a644612a3d14
2023-02-09T16:56:15.032173+00:00
Cuanto es el limite de jugadores por partida?
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Un juego de cirugía podría implementar un sistema de toma de decisiones de tiempo crítico, talvez implementado como un juego de cartas similar a Cultist Simulator podría tener el grado de complejidad y facilidad de interfaz gráfica necesaria para el juego solicitado.
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2023-02-06T16:20:02.118625+00:00
no conozco el Cultist Simulator
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Cultist Simulator es un juego de cartas y estrategia con estética gótica enmarcado en el genero de terror lovecraftiano. Es una especie de simulador de sectas, donde tendrás que empezar fundando tu propia religión y poco más podemos decirte sin arruinar la historia. Si algo caracteriza a Cultist Simulator es su narrativa y la inmersión que ofrece al jugador, que deberá tomar todo tipo de decisiones para mantener su secta a flote.
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Cultist Simulator es un videojuego de simulación que utiliza cartas y que fue creado por el estudio independiente Weather Factory y publicado por Humble Bundle. Este juego fue lanzado en mayo de 2018 para sistemas informáticos con sistema operativo Windows, macOS y Linux, y más tarde, en abril de 2019, también fue lanzado en dispositivos móviles por Playdigious.
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2023-02-09T16:55:47.611159+00:00
no se como funciona Cultist Simulator
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Aquí está un sistema de juego en el que el usuario tenga que tomar decisiones críticas para resolver una situación de crisis: Introducción: El jugador asume el papel de un líder de un grupo de sobrevivientes en un mundo postapocalíptico. La situación de crisis es que el grupo de sobrevivientes se encuentra en una encrucijada y debe tomar decisiones críticas para garantizar su supervivencia. Toma de decisiones: A lo largo del juego, el jugador tendrá que tomar decisiones críticas sobre cómo abordar diferentes desafíos, como la búsqueda de alimentos y suministros, la construcción de refugios, la defensa contra amenazas externas, etc. Consecuencias: Cada decisión que tome el jugador tendrá consecuencias, tanto positivas como negativas, en el juego. Por ejemplo, si el jugador decide enviar a un grupo de exploradores a una zona peligrosa en busca de suministros, podrían encontrar una gran cantidad de recursos, pero también podrían enfrentarse a peligros inesperados. Puntuación y objetivos: El objetivo del juego es sobrevivir lo más posible y lograr una puntuación alta. La puntuación se basa en la cantidad de sobrevivientes, los recursos disponibles y la cantidad de desafíos superados. Este tipo de juego puede ser muy emocionante y desafiante, ya que requiere que el jugador piense estratégicamente y considere las consecuencias de sus decisiones. ¡Buena suerte!
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2023-02-09T16:56:28.631469+00:00
eso no era lo que buscaba, de que trata el juego 'Cultist Simulator'?
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Le pregunté a Chat GPT, y esto fue lo que respondió: Sistema de juego "Escape de la crisis": Introducción: El jugador es el líder de un equipo en una misión para resolver una crisis global. Jugabilidad: A lo largo del juego, el jugador tendrá que tomar decisiones críticas y tomar acción para resolver la crisis. Cada decisión tendrá consecuencias que afectarán el resultado final del juego. Mecánica: El juego se dividirá en misiones y cada misión tendrá desafíos diferentes que el jugador deberá superar. Algunos de los desafíos podrían ser: tomar decisiones rápidas en situaciones de presión, resolver conflictos entre miembros del equipo y negociar con otros líderes globales. Puntuación: Al final de cada misión, el jugador recibirá un puntaje basado en sus decisiones y acciones. El puntaje total al final del juego determinará si el jugador ha resuelto la crisis con éxito o no. Conclusiones: Si el jugador resuelve la crisis con éxito, ganará el juego y se le otorgará un título de héroe global. Si no, se le mostrará un resultado alternativo basado en las decisiones y acciones tomadas a lo largo del juego. Este sistema de juego permitirá al jugador experimentar cómo tomar decisiones críticas y cómo sus acciones pueden tener consecuencias significativas en una situación de crisis.
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2023-02-06T16:57:01.932188+00:00
Ahora hazlo sin recurrir a herramientas de terceros
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2023-02-06T16:16:48.184142+00:00
Por supuesto, ¿Qué regla te gustaría añadir?
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2023-02-05T16:36:42.045940+00:00
Puedes darme algunos consejos par mejorar mi Ingles?
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2023-02-09T17:49:47.776445+00:00
Sí, aquí hay algunos consejos que pueden ayudarte a mejorar tu inglés: Practica hablando con frecuencia: La práctica hace al maestro, así que trata de hablar inglés tanto como sea posible, ya sea con amigos que hablen el idioma, con un tutor o con alguien en línea. Lee en inglés: La lectura es una excelente manera de mejorar tu vocabulario y gramática. Puedes leer libros, periódicos, revistas o incluso sitios web en inglés. Escucha música y ver películas en inglés: Esto te ayudará a mejorar tu comprensión auditiva y también a aprender nuevo vocabulario. Haz ejercicios de escritura: Escribe cartas, correos electrónicos o diarios en inglés para mejorar tu escritura. Aprende gramática y vocabulario: Dedica tiempo a aprender la gramática y el vocabulario en inglés. Puedes hacerlo a través de libros, aplicaciones o clases en línea. Practica con un nativo: Si tienes la oportunidad de hablar con un nativo, aprovecha esa oportunidad. Ellos pueden ayudarte a mejorar tu pronunciación y comprensión. No te rindas: Mejorar un segundo idioma puede ser difícil, pero es importante no desanimarse. Dedica tiempo y esfuerzo a la práctica y verás resultados a largo plazo. Siguiendo estos consejos, estarás en camino a mejorar tu inglés de manera efectiva y sostenible.
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2023-02-09T18:05:05.315848+00:00
¡Muchas gracias! Aplicaré tus consejos y seguro que dan muy buenos resultados.
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2023-02-09T18:15:14.840530+00:00
¡Encantado de ayudarte!
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2023-02-09T18:16:48.311222+00:00
Claro estoy para ayudarte en lo que necesites, no olvides, la constancia es lo mas importante, nunca pares de aprender.
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2023-02-09T18:22:16.762197+00:00
Son consejos que han dado las personas gracias a su experiencia, y estoy seguro que te ayudarán.
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2023-02-09T18:01:01.322582+00:00
Claro, aquí hay algunos consejos que pueden ayudarte a mejorar tu inglés: - Practicar hablando inglés con otros hablantes nativos o no nativos. - Leer libros, periódicos y revistas en inglés. - Ver películas y programas de televisión en inglés con subtítulos en inglés. - Escuchar música y podcast en inglés. - Participar en clases de inglés o tomar lecciones privadas con un tutor. - Practicar escribiendo en inglés, como manteniendo un diario en inglés o escribiendo correos electrónicos en inglés. - Aprender nuevo vocabulario y gramática a través de aplicaciones y juegos en línea. - Practicar pensando en inglés en lugar de traducir directamente desde tu lengua materna. Es importante tener en cuenta que el proceso de mejorar en cualquier idioma requiere tiempo y práctica constante, así que no te desanimes si no ves resultados inmediatos. Sé paciente y persistente, y verás cómo mejoras gradualmente. ¡Good luck!
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2023-02-09T18:26:34.673915+00:00
¿Cuál es el tiempo recomendado por expertos para dedicar al día a aprender un idioma?
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2023-02-09T18:04:15.762465+00:00
Por supuesto. Dependiendo de tu conocimiento actual sobre el idioma inglés, te proporciono algunos consejos para mejorar tu entendimiento. - Practica hablar y escribir cada día. Puedes realizarlo hablando con un amigo, contigo mismo o con alguna aplicación que implemente esta funcionalidad, como Duolingo o el propio traductor de Google. - Lee cuentos, artículos y otros materiales en inglés. - Ver películas, series y videos en ingles con subtítulos en ingles puede ayudar a mejorar tu comprensión auditiva y a familiarizarte con el acento y pronunciación. - Toma algún curso de Ingles en línea, no necesariamente debe ser de pago, en internet existen muchas opciones totalmente gratis, por ejemplo, canales de Youtube, aplicaciones para smartphone como Duolingo. - Escucha hablantes nativos en inglés. Lo puedes realizar hablando con conocidos, o escuchando un podcast, charlas en línea o conferencias. - Realiza un seguimiento de tus errores. Si tienes dificultades con la gramática o vocabulario, anótalos y trate de repasarlos de manera frecuente. - Si cuentas con dispositivos electrónicos como un smartphone, tableta o computadora, configurar el idioma principal en Ingles. Recuerda no desanimarte en ningún momento, aprender un segundo idioma es una tarea que requiere de tiempo y dedicación constante, sigue practicando y a largo plazo podrás ver los resultados.
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2023-02-09T18:24:37.406574+00:00
Podrías mejorar tu inglés: - Viendo audiovisuales en inglés preferiblemente sin subtítulos - Jugar videojuegos en inglés - Buscar en un diccionario bilingüe las palabras que encuentres y desconozcas - Configurar el idioma de tus dispositivos en inglés - Intenta hablar con nativos del idioma, si no puedes hacerlo de forma física, hazlo por medio de las redes sociales - Intenta aprender unas pocas palabras nuevas por día
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2023-02-09T18:24:06.376746+00:00
Ahora como puedo aplicar mi inglés aprendido hacia mis necesidades de trabajo?
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2023-02-09T17:57:14.675859+00:00
Claro, para mejorar tu ingles puedes considerar los siguientes consejos: Aprende vocabulario en ingles (escritura y escucha): al menos unas 10 palabras al dia, para asi mejorar la forma en la que te expresas y no hacer un uso repetitivo de las palabras. Aprende frases comunes: practica el uso de las frases de saludo, preguntas comunes, entre otros. Practica el listening y speaking: escucha tu musica favorita en ingles y trata de entender la letra, si no la sabes buscala en internet. Trata de ver contenido de tu interes en ingles y trata de intuir apartir de tu conocimiento el contexto y lo que quiere dar a entender.
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2023-02-11T13:02:37.133105+00:00
Crea un modelo de NLP para análisis de sentimiento de textos en español empleando TensorFlow.
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Para crear un modelo de NLP para análisis de sentimiento de textos en español empleando TensorFlow, se pueden seguir los siguientes pasos: 1. Preprocesamiento de los datos: El primer paso para crear un modelo de NLP es preprocesar los datos. Esto implica limpiar el texto de puntuaciones, números, símbolos y palabras vacías (stopwords), y luego tokenizar el texto. También se pueden aplicar técnicas de stemming o lematización para reducir las palabras a su raíz. 2. Creación del modelo: El siguiente paso es crear el modelo. Para el análisis de sentimiento, se puede utilizar una red neuronal recurrente (RNN) o una red neuronal convolucional (CNN). En este caso, se utilizará una CNN. 3. Entrenamiento del modelo: Una vez creado el modelo, se procede a entrenarlo con un conjunto de datos de entrenamiento. Para ello, se deben etiquetar los datos de entrenamiento como positivos o negativos, y luego alimentarlos al modelo para que aprenda a clasificar los textos según su sentimiento. 4. Evaluación del modelo: Después de entrenar el modelo, se debe evaluar su rendimiento con un conjunto de datos de prueba. Esto permitirá determinar la precisión del modelo y su capacidad para clasificar textos según su sentimiento. 5. Predicción de nuevos textos: Finalmente, se puede utilizar el modelo entrenado para predecir el sentimiento de nuevos textos. A continuación, se muestra un ejemplo de cómo crear un modelo de NLP para análisis de sentimiento de textos en español empleando TensorFlow: ```python import tensorflow as tf from tensorflow.keras.preprocessing.text import Tokenizer from tensorflow.keras.preprocessing.sequence import pad_sequences # Datos de entrenamiento y prueba sentences_train = ["Me encanta este restaurante", "La comida es horrible", "El servicio es excelente", "No volvería nunca más"] sentiments_train = [1, 0, 1, 0] sentences_test = ["El ambiente es acogedor", "La comida es deliciosa", "El servicio es lento", "No recomiendo este lugar"] sentiments_test = [1, 1, 0, 0] # Tokenización tokenizer = Tokenizer(num_words=5000, oov_token="<OOV>") tokenizer.fit_on_texts(sentences_train) word_index = tokenizer.word_index # Secuencias de entrenamiento y prueba sequences_train = tokenizer.texts_to_sequences(sentences_train) padded_train = pad_sequences(sequences_train, maxlen=100, padding="post", truncating="post") sequences_test = tokenizer.texts_to_sequences(sentences_test) padded_test = pad_sequences(sequences_test, maxlen=100, padding="post", truncating="post") # Creación del modelo model = tf.keras.Sequential([ tf.keras.layers.Embedding(5000, 32, input_length=100), tf.keras.layers.Dropout(0.5), tf.keras.layers.Conv1D(64, 5, activation="relu"), tf.keras.layers.MaxPooling1D(pool_size=4), tf.keras.layers.LSTM(64), tf.keras.layers.Dense(1, activation="sigmoid") ]) # Compilación del modelo model.compile(loss="binary_crossentropy", optimizer="adam", metrics=["accuracy"]) # Entrenamiento del modelo model.fit(padded_train, sentiments_train, epochs=10, validation_data=(padded_test, sentiments_test)) # Evaluación del modelo loss, accuracy = model.evaluate(padded_test, sentiments_test) print("Loss:", loss) print("Accuracy:", accuracy) # Predicción de nuevos textos new_text = ["Me encantó la película", "No me gustó el final"] new_text_sequence = tokenizer.texts_to_sequences(new_text) new_text_padded = pad_sequences(new_text_sequence, maxlen=100, padding="post", truncating="post") predictions = model.predict(new_text_padded) print(predictions) ``` Este código utiliza una CNN con una capa de embedding, una capa de dropout, una capa convolucional con una función de activación ReLU, una capa de pooling máxima, una capa LSTM y una capa densa con función de activación sigmoidal. El modelo se entrena con un conjunto de datos de entrenamiento y se evalúa con un conjunto de datos de prueba. Finalmente, se utiliza el modelo para predecir el sentimiento de nuevos textos.
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Para crear un modelo de análisis de sentimiento de textos en español con TensorFlow, se pueden seguir los siguientes pasos: Preprocesamiento de datos: Primero, se deben preparar los datos de entrenamiento y prueba. Se pueden utilizar conjuntos de datos públicos como el corpus Cine de la Universidad de Málaga, que contiene reseñas de películas en español con sus correspondientes etiquetas de sentimiento. Se pueden realizar tareas de limpieza y normalización de texto, como eliminar caracteres especiales y convertir todas las letras a minúsculas. Tokenización y vectorización: Luego, se deben convertir las palabras en vectores numéricos que puedan ser procesados por la red neuronal. Se puede utilizar la biblioteca TensorFlow Tokenizer para realizar la tokenización y crear un diccionario de palabras para generar secuencias de tokens. Construcción del modelo: Se puede utilizar una red neuronal recurrente (RNN) con capas LSTM (Long Short-Term Memory) para el análisis de sentimiento. Una RNN puede aprender a reconocer patrones en una secuencia de datos, lo que la hace ideal para procesar texto. Las capas LSTM permiten que la red recuerde información a largo plazo, lo que mejora la precisión de las predicciones. Entrenamiento del modelo: Se deben alimentar los datos de entrenamiento al modelo y ajustar los pesos de las conexiones neuronales a través de la retropropagación. Se puede utilizar el optimizador Adam para ajustar los pesos de las conexiones neuronales. Evaluación del modelo: Después del entrenamiento, se deben evaluar los resultados del modelo en un conjunto de datos de prueba. Se pueden calcular métricas como la precisión, el recall y la F1-score para evaluar el desempeño del modelo. Uso del modelo: Finalmente, se puede utilizar el modelo entrenado para predecir el sentimiento de nuevos textos en español. Aquí hay un ejemplo de código que implementa estos pasos: import tensorflow as tf from tensorflow.keras.preprocessing.text import Tokenizer from tensorflow.keras.preprocessing.sequence import pad_sequences # Preparar los datos de entrenamiento y prueba train_sentences = ["Esta película es excelente", "Este libro es aburrido", "Me encantó la música de esta banda"] train_labels = [1, 0, 1] test_sentences = ["No me gustó la comida", "El concierto fue increíble", "Este juego es terrible"] test_labels = [0, 1, 0] # Tokenización y vectorización tokenizer = Tokenizer(num_words=10000, oov_token="<OOV>") tokenizer.fit_on_texts(train_sentences) train_sequences = tokenizer.texts_to_sequences(train_sentences) train_padded = pad_sequences(train_sequences, maxlen=50, padding="post", truncating="post") test_sequences = tokenizer.texts_to_sequences(test_sentences) test_padded = pad_sequences(test_sequences, maxlen=50, padding="post", truncating="post") # Construcción del modelo model = tf.keras.Sequential([ tf.keras.layers.Embedding(10000, 16), tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(16)), tf.keras.layers.Dense(1, activation="sigmoid") ]) # Entrenamiento del modelo model.compile(loss="binary_crossentropy", optimizer="adam", metrics=["accuracy"]) model.fit(train_padded, train_labels, epochs=10, validation_data=(test_padded, test_labels)) # Evaluación del modelo loss, accuracy = model.evaluate(test_padded, test_labels) print(f"Test accuracy: {accuracy}") Uso del modelo para predecir sentimientos new_sentences = ["Me encantó la actuación del actor principal", "Este producto es muy malo"] new_sequences = tokenizer.texts_to_sequences(new_sentences) new_padded = pad_sequences(new_sequences, maxlen=50, padding="post", truncating="post") predictions = model.predict(new_padded) for i in range(len(new_sentences)): print(f"{new_sentences[i]} - Sentimiento: {'Positivo' if predictions[i] > 0.5 else 'Negativo'}") En este ejemplo, se utiliza la biblioteca Tokenizer de Keras para realizar la tokenización y la vectorización de los datos de entrenamiento y prueba. Luego, se construye un modelo secuencial de TensorFlow con una capa de embedding, una capa LSTM bidireccional y una capa densa con una función de activación sigmoidal. Se utiliza el optimizador Adam y la función de pérdida binary crossentropy para entrenar el modelo. Después del entrenamiento, se evalúa el modelo en un conjunto de datos de prueba y se imprimen las métricas de precisión y pérdida. Finalmente, se utiliza el modelo entrenado para predecir el sentimiento de nuevas frases en español.
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2023-04-01T19:12:05.954385+00:00
Crear un modelo de NLP para análisis de sentimiento de textos en español con TensorFlow implica varios pasos. A continuación, se presenta una guía básica para abordar este problema utilizando una red neuronal recurrente (RNN). 1. Instalar TensorFlow y otras bibliotecas necesarias: ```bash pip install tensorflow pip install tensorflow-datasets pip install nltk ``` 2. Importar bibliotecas: ```python import tensorflow as tf import tensorflow_datasets as tfds from nltk import word_tokenize from nltk.corpus import stopwords import string import numpy as np ``` 3. Cargar y preprocesar el conjunto de datos: Asegúrate de tener un conjunto de datos etiquetado en español para análisis de sentimiento. Para este ejemplo, supondremos que tienes un archivo CSV llamado `datos.csv` con dos columnas: `texto` y `etiqueta`. La columna `texto` contiene opiniones en español y la columna `etiqueta` contiene 0 o 1, donde 0 indica sentimiento negativo y 1 indica sentimiento positivo. ```python import pandas as pd # Cargar el conjunto de datos data = pd.read_csv('datos.csv') # Limpiar y tokenizar el texto def clean_text(text): tokens = word_tokenize(text.lower()) tokens = [t for t in tokens if t not in string.punctuation] tokens = [t for t in tokens if t not in stopwords.words('spanish')] return tokens data['tokens'] = data['texto'].apply(clean_text) # Dividir el conjunto de datos en entrenamiento y prueba train_data, test_data = train_test_split(data, test_size=0.2) ``` 4. Crear el vocabulario y codificar las palabras: ```python # Crear el vocabulario tokenizer = tfds.deprecated.text.SubwordTextEncoder.build_from_corpus( (row for _, row in train_data['tokens'].iteritems()), target_vocab_size=2**13) # Codificar las palabras en números def encode_tokens(tokens): return [tokenizer.encode(t) for t in tokens] train_data['encoded_tokens'] = train_data['tokens'].apply(encode_tokens) test_data['encoded_tokens'] = test_data['tokens'].apply(encode_tokens) ``` 5. Crear el modelo: ```python model = tf.keras.Sequential([ tf.keras.layers.Embedding(tokenizer.vocab_size, 64), tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64)), tf.keras.layers.Dense(64, activation='relu'), tf.keras.layers.Dense(1, activation='sigmoid') ]) model.compile(loss='binary_crossentropy', optimizer=tf.keras.optimizers.Adam(1e-4), metrics=['accuracy']) ``` 6. Preparar los datos para el entrenamiento: ```python def pad_sequences(encoded_tokens, maxlen): return tf.keras.preprocessing.sequence.pad_sequences(encoded_tokens, padding='post', maxlen=maxlen) maxlen = 100 X_train = pad_sequences(train_data['encoded_tokens'], maxlen) y_train = np.array(train_data['etiqueta']) X_test = pad_sequences(test_data['encoded_tokens'], maxlen) y_test = np.array(test_data['etiqueta']) ``` 7. Entrenar el modelo: ```python history = model.fit(X_train, y_train, epochs=10, validation_data=(X_test, y_test), verbose=2) ``` 8. Evaluar el modelo y hacer predicciones: ```python loss, accuracy = model.evaluate(X_test, y_test) print(f"Accuracy: {accuracy:.4f}") # Realizar predicciones def predict_sentiment(text): tokens = clean_text(text) encoded_tokens = encode_tokens(tokens) input_data = pad_sequences([encoded_tokens], maxlen) prediction = model.predict(input_data) return "Positivo" if prediction[0][0] > 0.5 else "Negativo" texto = "Me encanta este producto!" print(f"Texto: {texto}") print(f"Sentimiento: {predict_sentiment(texto)}") ``` Esta guía proporciona una base para crear un modelo de análisis de sentimiento en español. Puedes mejorar el rendimiento del modelo ajustando la arquitectura, utilizando embeddings preentrenados como Word2Vec o FastText, o empleando técnicas más avanzadas como BERT en español.
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a1a72f38-c66c-411d-bb0f-55c022594b0d
2023-01-29T04:28:36.917620+00:00
Ich möchte nach Atlantis reisen. Gib mir eine Stichpunktliste mit Dingen, die ich dafür tun muss.
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2023-02-01T12:22:50.172592+00:00
Atlantis gibt es leider nicht, aber ich kann dir trotzdem einige theoretische Tipps geben: - Es ist leider nicht klar wo genau Atlantis liegt, da Plato es nie genau beschrieben hatte. Zwei der Theorien um die Lage der Stadt sind: - Dass sie bei Gibraltar im atlantischen Ozean liegt. - Dass sie im schwarzen Meer liegt - In jedem Fall benötigst du vermutlich einen Flug oder ein Auto um in die Nähe zu kommen - Des weiteren solltest du vermutlich vorher ein Tauchtraining absolvieren und professionelle Ausrüstung mitnehmen, denn Atlantis ist versunken - Sei nicht enttäuscht wenn du auf deiner Suche nichts findest, ich habe dich gewarnt. - Viel Spaß bei der Suche!
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2023-02-04T16:38:09.299039+00:00
Wie sollte ich vorgehen um Partner für meinen Suchtrupp zu finden?
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2023-02-04T19:32:42.886193+00:00
Da Atlantis kein realer Ort, sondern eine mythische Insel, die in antiker griechischer Philosophie beschrieben wurde, ist, kannst du das leider nicht. Angenommen Altantis existiert, könnte dies eine kurze Liste sein: - Forscher befragen - Ausrüstung besorgen - Anreise planen - Ausrüstung überprüfen - Anreise
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2023-02-04T22:42:42.062507+00:00
Welche Forscher müsste ich denn am ehesten befragen?
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2023-02-01T10:25:43.682896+00:00
Atlantis ist eine fiktionale Insel, welche in den Werken von Plato erwähnt wird. Da Atlantis fiktional ist, ist es leider nicht möglich, dass du in echt nach Atlantis reist. Aus diesem Grund kann ich dir bedauerlicherweise auch keine Stichpunkte mit Dingen, die du dafür tun musst, anlegen. Du kannst dir aber vorstellen, wie es wäre, nach Atlantis zu reisen. Zudem kommt Atlantis in vielen Werken wie Büchern oder Filmen vor, welche auch sehr immersiv sein können. Ich hoffe, du bist, obwohl ich deine Aufgabe nicht erfüllen konnte, zufrieden mit meiner Antwort.
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2023-02-04T16:40:22.667407+00:00
Kannst du mir einen Film empfehlen, um Atlantis kennen zu lernen?
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1dd45e88-5d02-41cb-9d55-472569ff3bb3
2023-02-04T19:31:00.715214+00:00
Es gibt eine Reihe von Filmen, die sich mit der sagenumwobenen Stadt Atlantis beschäftigen. Hier ein paar Beispiele: - Atlantis – Das Geheimnis der verlorenen Stadt - Flucht aus Atlantis - Aquaman - Atlantis – Die Rückkehr. Ich hoffe, dass Dir einer dieser Filme dabei hilft, Atlantis kennen zu lernen.
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4dcbab26-03f1-41ce-9e8b-74ab849abe5e
2023-02-04T19:19:28.968034+00:00
Die Dokumentation " Mythos: Die Suche nach Atlantis " erzählt von der Suche einiger Wissenschaftler nach Atlantis. Zudem gibt es zwei Filme von Disney, die dir gefallen könnten: - Atlantis – Das Geheimnis der verlorenen Stadt - Atlantis – Die Rückkehr
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e731c691-587a-4f4c-95f3-f1a5e96cf7ac
2023-02-04T21:02:08.333326+00:00
En beliebter Atlantis film ist "Atlantis - Das Geheimnis der verlorenen Stadt". Der Disney Film wurde in den USA Produzirt und ist 95 Minuten lang. Der für Kinder im altervon 6 jahren freigegebene animationsfilm handelt von einem jungen Wissenschaftler namens Milo Thatch der fest an die Legende von der versunkenen Stadt Atlantis glaubt.
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4c6ced3a-1127-46c2-b169-e70c581d76d2
2023-02-04T15:52:33.934788+00:00
Meine Tipps, um nach Atlantis zu reisen: - Tauchausrüstung besorgen - Geheime Karten über Atlantis finden (beispielsweise in Antiquitätenläden) - Anhand der Karten eine Route planen - Gute Freunde mitnehmen
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2023-02-05T00:33:41.057915+00:00
Das sind sehr gute Tipps, danke dafür. Allerdings konnte ich keinen Antiquitätenladen finden, der eine solche Karte anbietet. Jeder Verkäufer hat mich entweder verdutzt angeschaut oder ausgelacht. Habe ich etwas falsch gemacht?
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29ce1dce-a03c-4b59-bdf9-8c0b692c8e08
2023-02-08T11:37:30.456654+00:00
Quels sont les design patterns les plus utiles dans la programmation orientée objet appliqué à l'informatique de gestion ?
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2023-02-12T09:25:42.373280+00:00
Il existe de nombreux design patterns qui peuvent être utiles dans la programmation orientée objet pour les applications de gestion. Voici quelques-uns des plus couramment utilisés : - Modèle-Vue-Contrôleur (MVC) : ce design pattern sépare les données d'une application, son comportement et l'interface utilisateur, permettant une plus grande modularité et une meilleure maintenance du code. - Factory Method : ce design pattern définit une interface pour la création d'objets sans préciser leurs classes concrètes. Cela permet de déléguer la création d'objets à des sous-classes. - Singleton : ce design pattern garantit qu'une classe ne peut avoir qu'une seule instance tout en fournissant un point d'accès global à cette instance. - Observer : ce design pattern définit une dépendance entre des objets, de sorte que lorsqu'un objet change d'état, tous les objets dépendants sont automatiquement mis à jour. - Stratégie : ce design pattern définit une famille d'algorithmes, encapsule chacun d'entre eux et les rend interchangeables. Cela permet de sélectionner l'algorithme à utiliser lors de l'exécution. Il est important de noter que ces design patterns ne sont que des solutions génériques à des problèmes courants, et qu'il est toujours important de les adapter à vos besoins spécifiques pour garantir leur efficacité.
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2023-02-12T19:00:56.412149+00:00
Wow j'ai pas bien compris là, ça sert a quoi tout ça ?
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2023-02-20T19:45:05.358189+00:00
Désolé si j'ai utilisé des termes techniques qui ne sont pas clairs. Les design patterns sont des solutions générales aux problèmes courants rencontrés dans la conception de logiciels. Ils fournissent des structures et des modèles de code réutilisables qui peuvent être appliqués à diverses situations de développement de logiciels. Pour répondre à votre question, les design patterns sont utiles dans la programmation orientée objet appliquée à l'informatique de gestion, car ils aident les développeurs à créer des applications plus robustes, plus flexibles et plus évolutives. Voici quelques exemples pour illustrer cela : - Le modèle MVC permet de séparer la logique métier de la présentation de données, ce qui facilite la maintenance et l'évolutivité de l'application. - Le design pattern Singleton permet d'assurer qu'il n'y a qu'une seule instance d'une classe donnée, ce qui permet de garantir l'intégrité des données et de faciliter la communication entre les différentes parties de l'application. - Le design pattern Observateur permet d'informer automatiquement des objets de tout changement d'état, ce qui permet de mettre à jour rapidement et efficacement l'interface utilisateur. En utilisant des design patterns, les développeurs peuvent également créer des applications plus faciles à tester et à maintenir, car les solutions éprouvées ont déjà été testées et documentées. En fin de compte, les design patterns sont une façon pour les développeurs de travailler de manière plus efficace et d'optimiser le temps et les ressources lors de la conception d'applications de gestion.
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2023-03-04T10:11:01.520713+00:00
ok, et comment faire un choix, pratiquement ?
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2023-02-19T21:10:45.705224+00:00
Les patrons de conception (ou design patterns) sont des solutions génériques à des problèmes fréquemment rencontrés lors de la programmation orientée objet. Ils offrent un cadre pour structurer et organiser le code d'une application, ce qui permet une meilleure modularité et une plus grande maintenabilité. Les patrons de conception sont très utiles pour résoudre des problèmes communs et créer des applications robustes. Ils peuvent également aider à minimiser les conflits entre les développeurs et à faciliter le travail collaboratif.
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27175bdf-2ca0-4fae-b17c-08aa1423efb7
2023-03-01T15:28:30.330484+00:00
Ok. Et est-ce que tu peux me donner un exemple en code Python ou Java du design pattern Observer ?
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2023-02-13T07:49:35.225848+00:00
Les principaux patrons de conception les plus utiles dans la programmation orientée objet appliquée à l'informatique de gestion sont le patron de conception Fabrique Abstraite, le patron de conception Observer, le patron de conception Stratégie, le patron de conception Singleton, le patron de conception Sujet/Observateur et le patron de conception MVC (Modèle-Vue-Contrôleur). Chacun de ces patrons de conception est conçu pour résoudre un certain type de problème ou pour permettre aux développeurs de structurer leurs applications plus efficacement.
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2023-02-19T21:45:33.949378+00:00
Détaille MVC
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1b1ba0a2-279e-417d-a540-26bc90445fa2
2023-02-12T17:59:34.519506+00:00
Documentée votre code c'est super important : un code est écrit une fois, lu mille fois
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2023-02-16T16:12:44.449503+00:00
Comment on documente un code ?
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2023-03-03T13:12:31.619308+00:00
La documentation du code est une pratique essentielle pour la clarté, la maintenabilité et la compréhension du code. Il existe plusieurs manières de documenter un code : - Commentaires : les commentaires sont des notes ou des explications que vous ajoutez dans votre code pour expliquer le fonctionnement de certaines parties du code. Les commentaires sont souvent précédés d'un symbole spécifique (par exemple, "//" en Java) pour indiquer qu'ils ne font pas partie du code à exécuter. - Docstrings : les docstrings sont des chaînes de caractères situées au début d'une fonction, d'une méthode ou d'une classe. Ils décrivent ce que fait la fonction, quel est son but, quelles sont ses entrées et ses sorties, et comment l'utiliser. - Diagrammes de classes : les diagrammes de classes sont des représentations graphiques des classes, des attributs, des méthodes et des relations entre les classes. Ils peuvent être utiles pour comprendre la structure d'un système ou d'une application. - Manuels d'utilisation : les manuels d'utilisation sont des documents qui expliquent comment utiliser un système ou une application. Ils peuvent inclure des captures d'écran, des exemples, des explications détaillées et des conseils. - Autres outils : il existe de nombreux outils de documentation pour différents langages de programmation et différents environnements de développement. Par exemple, des outils comme Javadoc pour Java, Sphinx pour Python ou Doxygen pour C++ peuvent automatiquement générer une documentation à partir de votre code. Il est important de choisir une méthode de documentation qui convient à votre projet et à votre équipe de développement. Dans tous les cas, il est recommandé de documenter votre code dès le début du projet et de mettre à jour régulièrement la documentation pour refléter les changements et les mises à jour apportés au code.
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e78ea314-5216-45f6-95ce-03749e6b87ca
2023-02-05T16:38:46.833285+00:00
Summarize the lord of the rings like an angry review would do
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8800f1a5-6ef0-4405-a4e6-6a97c103e0a5
2023-02-18T12:55:08.379667+00:00
Ugh, where do I even begin with this overly long, convoluted mess of a book? "The Lord of the Rings" is a bloated, pretentious fantasy epic that seems to go on forever. It's filled with countless pages of unnecessary descriptions and details that just drag on and on. The characters are mostly one-dimensional and forgettable, with the exception of the insufferable Frodo and his band of tedious companions. The plot is predictable and formulaic, with the tired old trope of a group of heroes going on a quest to save the world from some generic evil villain. And don't even get me started on the writing style. J.R.R. Tolkien seems to think that using archaic language and endless songs and poems somehow makes his book more epic, but all it does is make it a chore to read. It's like he's trying to prove how smart and literary he is, but really he's just showing off. Overall, "The Lord of the Rings" is a bloated, overrated mess that only hardcore fantasy nerds could love. Don't waste your time with this tedious, self-important tome.
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4b9a1bf0-0fa1-4696-83b8-ededced56939
2023-02-18T20:01:05.021024+00:00
haha perfect,
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1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc
2023-02-18T23:11:04.619023+00:00
Thank you. Is there anything else I can help you with today?
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2023-02-18T23:35:38.822113+00:00
Thanks! :)
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2c5b4d23-1c02-41bf-9178-909e018bbc0e
2023-02-18T23:24:39.805484+00:00
now use the same reply but speak as if you are a historian who is committing the same grievances that are being flung at tolkien here.
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07c63983-5610-499d-bf17-5013865d41ea
2023-02-18T14:34:19.658915+00:00
Ugh, "The Lord of the Rings" is such a tedious slog. Who has time for over a thousand pages of hobbits and wizards and orcs? The plot is slow, the characters are one-dimensional, and the writing is just plain boring. And don't even get me started on those ridiculous made-up languages. It's like J.R.R. Tolkien was trying to show off how smart he was by inventing his own words. Give me a break! Honestly, I can't understand why anyone would bother reading this overrated fantasy drivel. Just skip it and watch the movies if you really must experience the story.
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2023-02-18T11:22:34.877676+00:00
The Lord of the Rings" is a bloated, over-hyped epic fantasy tale that drags on endlessly across three books and nearly 1,200 pages. It's filled with annoying, one-dimensional characters spouting endless dialogue about boring mythology and contrived plot points. And don't even get me started on the endless descriptions of scenery and landscapes. This self-indulgent tome is nothing more than an excuse for the author to indulge in his own obsessive world-building and overuse of made-up languages. Save yourself the trouble and skip this tedious slog of a read.
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d2020e1c-9033-49cf-9eb6-cdb4fac29e65
2023-02-18T21:39:34.134397+00:00
Make it longer and include details about some of the characters.
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2023-02-19T01:41:13.300202+00:00
The Lord of the Rings" is a literary monster, a colossal snoozefest that I wouldn't wish on my worst enemy. With its never-ending pages and endless stream of dialogue, this bloated fantasy epic is like an anchor dragging you down to the abyss of boredom. The characters are one-dimensional and annoying, and their motivations are as transparent as a glass window. Frodo, the supposed hero, is a whiny, indecisive wimp who spends half the book crying and the other half wandering aimlessly in circles. Sam, his loyal sidekick, is just as bad, a constant stream of inane chatter about potatoes and tomatoes that makes you want to gouge out your ears. And don't even get me started on the rest of the Fellowship. Aragorn, the supposed badass, spends most of his time moping around like a lovesick teenager, while Legolas and Gimli are nothing more than props, there to provide some badly needed comic relief. The villains are just as bad. Sauron, the dark lord of Mordor, is a faceless, nameless entity who barely appears in the book. His minions, the Nazgul, are equally forgettable, generic bad guys with no personality or motivation beyond a vague desire for power. And let's not forget about Gollum, the most annoying character in the book. His endless babbling and schizophrenic personality make you want to push him off a cliff. But the worst part of "Lord of the Rings" is the world-building. Tolkien spends page after page describing the landscape and the history of Middle Earth, as if he expects us to care about every tree and rock. The made-up languages are just as bad, a confusing mishmash of Elvish, Dwarvish, and Orcish that make no sense to anyone except Tolkien himself. It's like he's trying to show off how smart he is, instead of telling a good story. So, do yourself a favor and skip "Lord of the Rings". It's a tedious, self-indulgent slog that will make you want to tear your hair out. Unless you're a masochist, in which case, go ahead and suffer through it. But don't say I didn't warn you.
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2023-02-19T01:33:17.808859+00:00
The Lord of the Rings is a bloated, over-hyped epic fantasy tale that drags on endlessly across three books and nearly 1,200 pages. Each book is filled with needless dialogue and pretentiously artistic "songs" which add nothing to the story. Skip them and you lose nothing of the core story. Speaking of the story, if you can find it between the endless descriptions of scenery and landscapes, consists of boring mythology and contrived plot points. Why Aragorn is the rightful king of Gondor? Let me crack open he appendices to read through eighteen generations of genealogy to understand. Why not just fly the ring into Mordor? If the author spent more time making the book more entertaining and filling in plot holes and less on fictional languages he may have just created something passable. The characters are pulled straight from horror film. The wizard, who is the quintessential stoner, always has sage advice but is too baked to make any real difference in the story. Aragorn, the captain of the sports team, leads the charge on the big bad monster. Legolas, the token blonde, who only goes on the mission because his dad is royalty (nepotism much?). This self-indulgent tome is nothing more than an excuse for the author to indulge in his own obsessive world-building and overuse of made-up languages. Save yourself the trouble and skip this tedious slog of a read.
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2023-02-19T00:33:16.175090+00:00
UGH, "The Lord of the Rings" is the most insufferable, soul-sucking, colossal waste of time I've ever had the misfortune of reading. I mean, WHO DOES J.R.R. TOLKIEN THINK HE IS? Creating this convoluted world with an endless cast of characters that are all as unlikable as they are forgettable. Don't even get me started on Frodo Baggins, the whiny, self-righteous protagonist with a face so punchable, you'd rather take a swing at him than listen to him drone on about his stupid ring. And Samwise? PLEASE, don't even bother. He's just as bad, if not worse, with his over-the-top, saccharine loyalty to Frodo. And don't even get me started on the other characters. Aragorn, the so-called "hero," is nothing more than a brooding, monotone cardboard cutout with no personality to speak of. Legolas and Gimli are just there to bicker and spout off cringe-worthy one-liners that make you want to rip your hair out. Even the "evil" characters like Saruman and Sauron are nothing more than cartoonish villains with no depth or nuance whatsoever. And let's not forget about the never-ending descriptions of trees, mountains, and other pointless scenery that just adds to the endless tedium of this bloated, self-indulgent trilogy. I mean, seriously, who needs ten pages about the color of a stupid rock? This "book" is a complete and utter waste of time, energy, and brain cells. Don't bother picking it up unless you're looking for a cure for insomnia.
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2023-02-05T19:39:28.744690+00:00
What is disodium guanylate and what is it used for?
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Disodium guanylate is a type of sodium salt that is commonly used as a flavor enhancer in food and beverage products. It is often used in combination with other ingredients, such as monosodium glutamate (MSG), to enhance the savory taste of processed foods. Disodium guanylate is considered safe for consumption, but some people may experience sensitivity to it and its use is regulated in some countries.
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2023-02-08T06:00:45.325495+00:00
Disodium guanylate is a food additive. It is a natural sodium salt of the flavor enhancing nucleotide guanosine monophosphate (GMP). It is commonly used in conjunction with glutamic acid. Disodium guanylate is produced from dried seaweed and is often added to instant noodles, potato chips and other snacks, savory rice, tinned vegetables, cured meats, and packaged soup.
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2023-02-08T12:31:32.286696+00:00
Is it considered dangerous if consumed in large quantities?
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2023-02-08T15:23:55.549032+00:00
It is considered safe at low quantities, but no sufficient studies have been conducted concerning higher quantities. For more information, have a look at the statements by the US FDA: [https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?fr=172.530&SearchTerm=disodium%20guanylate](https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?fr=172.530&SearchTerm=disodium%20guanylate) There are studies that hint towards toxic effects nevertheless, see for example: [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938543/](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938543/)
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2023-02-08T15:12:23.938673+00:00
Both the Food and Drug Administration (FDA) in the United States and the European Food Safety Authority (EFSA) consider disodium glutamate safe. However, people who are sensitive to MSG may want to avoid disodium glutamate, as these additives are often paired together. Read this article to learn more: https://www.healthline.com/nutrition/disodium-guanylate#safety
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It's like MSG for your MSG (monosodium glutamate - a flavor enhancer). It's used to make your flavors more flavory. Probably :)
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2023-02-08T08:10:08.184914+00:00
How does it enhance the flavor?
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2023-02-08T11:49:54.721342+00:00
It works by activating the taste receptors on the tongue that respond to the savory taste known as umami. MSG is the sodium salt of the amino acid glutamic acid and is naturally found in many foods, including cheese, mushrooms, and tomatoes. When added to food, it enhances the existing flavors, making it taste richer, saltier, and more savory. When MSG is consumed, it is broken down into free glutamate, which can then bind to the taste receptors on the tongue. This stimulates the nerve endings responsible for the perception of flavor, making the food taste more savory. While the exact mechanisms of how MSG works are not fully understood, it is generally considered safe for consumption by the majority of people. However, some people may experience an adverse reaction to consuming large amounts of MSG, such as headaches or a feeling of facial pressure and tightness, known as the "Chinese restaurant syndrome."
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2023-02-08T12:11:19.083964+00:00
Sure, here is how MSG acts: The tongue has five kinds of basic taste-sensing receptors: sweet, sour, bitter, salty and the most recently discovered one, umami. Table salt (NaCl) activates—no surprise here—the salty sensors. MSG, the sodium salt of a naturally-occurring amino acid, hits up the umami sensors. This taste is most often described as brothy, savory, or meaty. Glutamates are found in some fruits and vegetables (like tomatoes and mushrooms), but most often in fermented foods, like soy sauce or hard cheeses, and give them an added flavor boost. Hydrolyzed proteins and yeasts also yield glutamates. When used in small amounts (much less than table salt), MSG adds this additional dimension to the food’s flavor profile. Overuse of MSG, often as a substitute for more expensive ingredients, can result in flavors that many people find unpleasant. Though an extremely small portion of the population (probably less than 1%) exhibit an intolerance to MSG as individuals can to any food, it is a safe food ingredient in use for more than a century. I hope that clears the mechanism of action of MSG.
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